Grid Method for Accuracy Study of Micro Parts Manufacturing

Micro and Nanosystems ◽

10.2174/1876402911103030263 ◽

2011 ◽

Vol 3 (3) ◽

pp. 263-269 ◽

Author(s):

E. Minev ◽

K. Popov ◽

R. Minev ◽

S. Dimov ◽

V. Gagov

Keyword(s):

Grid Method ◽

Micro Parts ◽

Accuracy Study ◽

Parts Manufacturing

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Utilizing a Grid Method for Accuracy Study of Micro SLA Parts

Proceedings of the 7th International Conference on Multi-Material Micro Manufacture ◽

10.3850/978-981-08-6555-9_154 ◽

2010 ◽

Author(s):

Minev E ◽

Popov K ◽

Minev R ◽

Dimov S ◽

Gagov V ◽

...

Keyword(s):

Grid Method ◽

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Review for "Diagnostic strategy for trigger identification in severe reactive hemophagocytic lymphohistiocytosis: A diagnostic accuracy study"

10.1002/hon.2819/v2/review1 ◽

2020 ◽

Author(s):

Seok Jin Kim

Keyword(s):

Diagnostic Accuracy ◽

Hemophagocytic Lymphohistiocytosis ◽

Diagnostic Strategy ◽

Diagnostic Accuracy Study ◽

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Review for "Diagnostic strategy for trigger identification in severe reactive hemophagocytic lymphohistiocytosis: A diagnostic accuracy study"

10.1002/hon.2819/v1/review1 ◽

2020 ◽

Keyword(s):

Diagnostic Accuracy ◽

Hemophagocytic Lymphohistiocytosis ◽

Diagnostic Strategy ◽

Diagnostic Accuracy Study ◽

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Evaluation of Validity of the Near-infrared Imaging System (VistaCam iX Proxi) in Comparison With Digital Radiographic Findings and ICDAS-II in Detection of Approximal Carious Lesions: Diagnostic Accuracy Study.

Case Medical Research ◽

10.31525/ct1-nct03923192 ◽

2019 ◽

Author(s):

Keyword(s):

Diagnostic Accuracy ◽

Near Infrared ◽

Infrared Imaging ◽

Imaging System ◽

Diagnostic Accuracy Study ◽

Radiographic Findings ◽

Infrared Imaging System ◽

Carious Lesions ◽

Icdas Ii ◽

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Accuracy Study of Robot-assisted Screw Insertion in Spinal Surgery

Case Medical Research ◽

10.31525/ct1-nct04040868 ◽

2019 ◽

Author(s):

Keyword(s):

Spinal Surgery ◽

Robot Assisted ◽

Screw Insertion ◽

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Faculty Opinions recommendation of Lack of accuracy of continuous glucose sensors in healthy, nondiabetic children: results of the Diabetes Research in Children Network (DirecNet) accuracy study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1019885.226475 ◽

2004 ◽

Author(s):

Anthony Czarnik

Keyword(s):

Glucose Sensors ◽

Diabetes Research ◽

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Faculty Opinions recommendation of Saliva testing for human papilloma virus in oropharyngeal squamous cell carcinoma: A diagnostic accuracy study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.728768609.793549820 ◽

2018 ◽

Author(s):

Iain Nixon ◽

Ashley Hay

Keyword(s):

Squamous Cell Carcinoma ◽

Diagnostic Accuracy ◽

Human Papilloma Virus ◽

Cell Carcinoma ◽

Squamous Cell ◽

Oropharyngeal Squamous Cell Carcinoma ◽

Diagnostic Accuracy Study ◽

Papilloma Virus ◽

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Faculty Opinions recommendation of Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.732224023.793547730 ◽

2018 ◽

Author(s):

Anthony Harries ◽

Kudakwashe C Takarinda

Keyword(s):

Mycobacterium Tuberculosis ◽

Diagnostic Accuracy ◽

Rifampicin Resistance ◽

Diagnostic Accuracy Study ◽

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Technological capabilities of vibration fi nishing of parts by granular organic media from natural materials

10.36652/1813-1336-2020-16-9-407-410 ◽

2020 ◽

pp. 407-410

Author(s):

E.Yu. Krupenya ◽

A.P. Shishkina

Keyword(s):

Experimental Verification ◽

Organic Media ◽

Technological Capabilities ◽

Natural Materials ◽

Machine Parts ◽

Parts Manufacturing

The essence and scope of granular organic media from natural materials in the technology for machine parts manufacturing are shown. Vibration finishing model of the parts surface by granules of stone organic media and the results of its experimental verification, features of drying and vibration wiping of parts by organic media are presented.

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Micro-parts vision inspection technique for assembly

JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT ◽

10.3724/sp.j.1187.2013.00151 ◽

2013 ◽

Vol 27 (2) ◽

pp. 151-155

Author(s):

Pengle Cheng

Keyword(s):

Vision Inspection ◽

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